
"""simple docstring"""



import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


a       :						Tuple       		=		'''http://www.mocksite.com/file1.txt'''
a       :						Any       		=		'''"text": ["foo", "foo"]'''
a       :						str       		=		'''6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'''




class 		a_    :
    a   :					List[str]			     =					200
    a   :					List[Any]			     =					{'Content-Length': '100'}
    a   :					Optional[Any]			     =					{}







    def   _snake_case       (      self      :							List[Any]  ,       **__UpperCamelCase      :							Any  )		->Optional[int]:






        '''simple docstring'''






        return [bytes(__UpperCamelCase  ,       """utf-8"""  )]







def 			_UpperCamelCase						(    *_A       ,   **_A   )     ->	List[str]:





    """simple docstring"""

    return MockResponse()


@pytest.mark.parametrize("""urls_type"""       ,   [str, list, dict]   )
def 			_UpperCamelCase						(    _A       ,   _A       ,   _A   )     ->	Optional[Any]:





    """simple docstring"""

    import requests

    monkeypatch.setattr(_A       ,   """request"""       ,   _A   )

    _UpperCAmelCase        = URL
    if issubclass(_A       ,   _A   ):
        _UpperCAmelCase        = url
    elif issubclass(_A       ,   _A   ):
        _UpperCAmelCase        = [url]
    elif issubclass(_A       ,   _A   ):
        _UpperCAmelCase        = {"""train""": url}
    _UpperCAmelCase        = """dummy"""
    _UpperCAmelCase        = """downloads"""
    _UpperCAmelCase        = tmp_path
    _UpperCAmelCase        = DownloadConfig(
        cache_dir=os.path.join(_A       ,   _A   )       ,   use_etag=_A       ,   )
    _UpperCAmelCase        = DownloadManager(dataset_name=_A       ,   download_config=_A   )
    _UpperCAmelCase        = dl_manager.download(_A   )
    _UpperCAmelCase        = urls
    for downloaded_paths in [downloaded_paths]:
        if isinstance(_A       ,   _A   ):
            _UpperCAmelCase        = [downloaded_paths]
            _UpperCAmelCase        = [urls]
        elif isinstance(_A       ,   _A   ):
            assert "train" in downloaded_paths.keys()
            _UpperCAmelCase        = downloaded_paths.values()
            _UpperCAmelCase        = urls.values()
        assert downloaded_paths
        for downloaded_path, input_url in zip(_A       ,   _A   ):
            assert downloaded_path == dl_manager.downloaded_paths[input_url]
            _UpperCAmelCase        = Path(_A   )
            _UpperCAmelCase        = downloaded_path.parts
            assert parts[-1] == HASH
            assert parts[-2] == cache_subdir
            assert downloaded_path.exists()
            _UpperCAmelCase        = downloaded_path.read_text()
            assert content == CONTENT
            _UpperCAmelCase        = downloaded_path.with_suffix(""".json"""   )
            assert metadata_downloaded_path.exists()
            _UpperCAmelCase        = json.loads(metadata_downloaded_path.read_text()   )
            assert metadata_content == {"url": URL, "etag": None}


@pytest.mark.parametrize("""paths_type"""       ,   [str, list, dict]   )
def 			_UpperCamelCase						(    _A       ,   _A       ,   _A   )     ->	Dict:





    """simple docstring"""

    _UpperCAmelCase        = str(_A   )
    if issubclass(_A       ,   _A   ):
        _UpperCAmelCase        = filename
    elif issubclass(_A       ,   _A   ):
        _UpperCAmelCase        = [filename]
    elif issubclass(_A       ,   _A   ):
        _UpperCAmelCase        = {"""train""": filename}
    _UpperCAmelCase        = """dummy"""
    _UpperCAmelCase        = xz_file.parent
    _UpperCAmelCase        = """extracted"""
    _UpperCAmelCase        = DownloadConfig(
        cache_dir=_A       ,   use_etag=_A       ,   )
    _UpperCAmelCase        = DownloadManager(dataset_name=_A       ,   download_config=_A   )
    _UpperCAmelCase        = dl_manager.extract(_A   )
    _UpperCAmelCase        = paths
    for extracted_paths in [extracted_paths]:
        if isinstance(_A       ,   _A   ):
            _UpperCAmelCase        = [extracted_paths]
            _UpperCAmelCase        = [paths]
        elif isinstance(_A       ,   _A   ):
            assert "train" in extracted_paths.keys()
            _UpperCAmelCase        = extracted_paths.values()
            _UpperCAmelCase        = paths.values()
        assert extracted_paths
        for extracted_path, input_path in zip(_A       ,   _A   ):
            assert extracted_path == dl_manager.extracted_paths[input_path]
            _UpperCAmelCase        = Path(_A   )
            _UpperCAmelCase        = extracted_path.parts
            assert parts[-1] == hash_url_to_filename(_A       ,   etag=_A   )
            assert parts[-2] == extracted_subdir
            assert extracted_path.exists()
            _UpperCAmelCase        = extracted_path.read_text()
            _UpperCAmelCase        = text_file.read_text()
            assert extracted_file_content == expected_file_content


def 			_UpperCamelCase						(    _A       ,   _A   )     ->	Union[str, Any]:





    """simple docstring"""

    assert path.endswith(""".jsonl"""   )
    for num_items, line in enumerate(_A       ,   start=1   ):
        _UpperCAmelCase        = json.loads(line.decode("""utf-8"""   )   )
        assert item.keys() == {"col_1", "col_2", "col_3"}
    assert num_items == 4


@pytest.mark.parametrize("""archive_jsonl"""       ,   ["""tar_jsonl_path""", """zip_jsonl_path"""]   )
def 			_UpperCamelCase						(    _A       ,   _A   )     ->	int:





    """simple docstring"""

    _UpperCAmelCase        = request.getfixturevalue(_A   )
    _UpperCAmelCase        = DownloadManager()
    for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(_A   )       ,   start=1   ):
        _test_jsonl(_A       ,   _A   )
    assert num_jsonl == 2


@pytest.mark.parametrize("""archive_nested_jsonl"""       ,   ["""tar_nested_jsonl_path""", """zip_nested_jsonl_path"""]   )
def 			_UpperCamelCase						(    _A       ,   _A   )     ->	Tuple:





    """simple docstring"""

    _UpperCAmelCase        = request.getfixturevalue(_A   )
    _UpperCAmelCase        = DownloadManager()
    for num_tar, (path, file) in enumerate(dl_manager.iter_archive(_A   )       ,   start=1   ):
        for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(_A   )       ,   start=1   ):
            _test_jsonl(_A       ,   _A   )
    assert num_tar == 1
    assert num_jsonl == 2







def 			_UpperCamelCase						(    _A   )     ->	int:





    """simple docstring"""

    _UpperCAmelCase        = DownloadManager()
    for num_file, file in enumerate(dl_manager.iter_files(_A   )       ,   start=1   ):
        assert os.path.basename(_A   ) == ("test.txt" if num_file == 1 else "train.txt")
    assert num_file == 2

"""simple docstring"""



import math




class 		a_    :







    def   _snake_case       (      self      :							List[Any]  ,       __UpperCamelCase      :							list[list[float]]  ,       __UpperCamelCase      :							list[int]  )		->int:






        '''simple docstring'''






        _UpperCAmelCase        = 0.0
        _UpperCAmelCase        = 0.0
        for i in range(len(__UpperCamelCase  )  ):
            da += math.pow((sample[i] - weights[0][i])  ,       2  )
            da += math.pow((sample[i] - weights[1][i])  ,       2  )
            return 0 if da > da else 1
        return 0







    def   _snake_case       (      self      :							Dict  ,       __UpperCamelCase      :							list[list[int | float]]  ,       __UpperCamelCase      :							list[int]  ,       __UpperCamelCase      :							int  ,       __UpperCamelCase      :							float  )		->list[list[int | float]]:






        '''simple docstring'''






        for i in range(len(__UpperCamelCase  )  ):
            weights[j][i] += alpha * (sample[i] - weights[j][i])
        return weights







def 			_UpperCamelCase						(    )     ->	None:





    """simple docstring"""

    _UpperCAmelCase        = [[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

    # weight initialization ( n, C )
    _UpperCAmelCase        = [[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

    # training
    _UpperCAmelCase        = SelfOrganizingMap()
    _UpperCAmelCase        = 3
    _UpperCAmelCase        = 0.5

    for _ in range(_A   ):
        for j in range(len(_A   )   ):
            # training sample
            _UpperCAmelCase        = training_samples[j]

            # Compute the winning vector
            _UpperCAmelCase        = self_organizing_map.get_winner(_A       ,   _A   )

            # Update the winning vector
            _UpperCAmelCase        = self_organizing_map.update(_A       ,   _A       ,   _A       ,   _A   )

    # classify test sample
    _UpperCAmelCase        = [0, 0, 0, 1]
    _UpperCAmelCase        = self_organizing_map.get_winner(_A       ,   _A   )

    # results
    print(F"""Clusters that the test sample belongs to : {winner}"""   )
    print(F"""Weights that have been trained : {weights}"""   )


# running the main() function
if __name__ == "__main__":
 main()